Finding occupational accident patterns in the extractive industry using a systematic data mining approach

Reliability Engineering and System Safety

Volumn 108, Issue , 2012, Pages 108-122

  Silva, Joaquim F ^a   Jacinto, Celeste ^a,b  

^a UNIVERSIDADE NOVA DE LISBOA   (Portugal)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Accident pattern; Data mining; Eurostat data; Extractive Industry; Mining and quarrying; Occupational accident

Indexed keywords

ACCIDENT MECHANISM; BIVARIATE; DATA MINING TECHNIQUES; EUROSTAT DATA; EXTRACTIVE INDUSTRY; LARGE GROUPS; MINING AND QUARRYING; MULTIVARIATE PATTERNS; OCCUPATIONAL ACCIDENT; SAFETY STRATEGY; SIGNIFICANT PATTERNS; STUDY AREAS;

ADHESION; DATA MINING; OCCUPATIONAL RISKS; RISK MANAGEMENT;

ACCIDENTS;

EID: 84866001210     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2012.07.001     Document Type: Article

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